提示词

meeting-insights-analyzer

ComposioHQ

Analyzes meeting transcripts and recordings to uncover behavioral patterns, communication insights, and actionable feedback. Identifies when you avoid conflict, use filler words, dominate conversations, or miss opportunities to listen. Perfect for professionals seeking to improve their communication and leadership skills.

rag-chatbot

elastic

Guide for building RAG (retrieval-augmented generation) chatbots and Q&A systems with Elasticsearch. Use when a developer wants to build a chatbot, Q&A system, or AI assistant that answers questions from their own data.

local-llm-tool

xuiltul

Local LLM execution tool for text generation and chat through Ollama or vLLM endpoints. Use when: running on-prem inference, calling a local GPU model, or summarizing with a self-hosted LLM.

clear-cove-task-design

Jamie-BitFlight

"Use when orchestration or planning agents are producing task plans, task prompts, or TASK.md instructions that must be unambiguous, verifiable, and resistant to hallucination. Applies CLEAR (Concise, Logical, Explicit, Adaptive, Reflective) to structure and write agent task files, then adds CoVe (Chain of Verification) checks where accuracy risk is meaningful. Activates on draft task prompts, swarm plans, migration tasks, and multi-step plans requiring independently executable steps."

LLM evaluation methodology

melodic-software

"Answers LLM-evaluation design questions from Anthropic's official evaluation guidance — success criteria, eval-suite design, and grading methods for LLM-based applications and Claude Code skills. Use when: 'define success criteria', 'how do I eval this', 'LLM eval', 'measure prompt quality', 'LLM judge', 'model-graded eval', 'golden answer', 'grading rubric', 'eval grading method', 'exact match vs LLM-graded', 'how many eval cases', 'is my success criteria measurable' — knowledge (WHY/WHAT of eval design), not a runner; for scaffolding a suite use /evals:design, and no marketplace command executes model-graded evals."

claude-code-plugins

melodic-software

"Verify the desktop-notification hook's runtime prerequisites and per-OS channel configuration for this machine. Use when: 'set up desktop-notification', 'configure desktop-notification', 'is desktop-notification working', notifications silently aren't firing, or the hook reported a missing prerequisite. Actions: check (read-only verification, default) apply (resolve what check found). Re-runnable and safe."

global-think-tank-analyst

vassiliylakhonin

Strategic-risk analysis skill for AI agents producing decision-ready memos on geopolitics, sanctions, trade, regulation, and strategic risk with explicit evidence boundaries, uncertainty, scenarios, actor incentives, trade-offs, and watch-next indicators. Use for a country risk brief, policy memo, sanctions or export-control exposure assessment, trade or regulatory implications memo, geopolitical scenario brief, strategic implications note for leadership, stakeholder and incentives analysis, a red-team challenge to an existing policy or risk view, or a decision briefing pack for founders, operators, investors, NGOs, compliance teams, policy teams, or leadership. Do not use for a simple news recap, encyclopedia-style overview, academic literature review, legal advice, intelligence-style certainty, decorative analysis, or unsupported quantitative forecasting.

the-algorithm

norrisaftcc

Two operations on documents. PROVIDE — compress a draft prompt to the shortest version that clears a floor test, teach through the cuts, freeze at a gate, execute exactly. ASSAY — run the floor test against a received document and report what survives, read-only, never redrafted. Supersedes prompt-optimizer-peers. Use when a peer submits a prompt to optimize, asks how to write a better prompt, wants a draft built via optimize-then-freeze, or wants an incoming document read against the floor.

LLM Wiki Maintainer

paperclipai

"Use the LLM Wiki plugin tools to maintain a cited local company wiki."

ralph-loop

cursor

Start a Ralph Loop for iterative self-referential development. Use when the user asks to run a ralph loop, start an iterative loop, or wants repeated autonomous iteration on a task until completion.

ralph-loop-help

cursor

Explain the Ralph Loop plugin, how it works, and available skills. Use when the user asks for help with ralph loop, wants to understand the technique, or needs usage examples.

Math-To-Manim

HarleyCoops

This skill should be used when the user asks to "create a math animation", "animate a mathematical concept", "generate Manim code", "visualize [topic] with animation", "explain [concept] visually", "create an educational video", "build a Manim scene", or mentions "reverse knowledge tree", "prerequisite discovery", or "verbose prompt generation". Provides a complete six-agent workflow for transforming any concept into professional Manim animations through recursive prerequisite discovery.

code-review

pipecat-ai

Automated code review for pull requests using multiple specialized agents

git-guardrails-claude-code

mattpocock

Set up Claude Code hooks to block dangerous git commands (push, reset --hard, clean, branch -D, etc.) before they execute. Use when user wants to prevent destructive git operations, add git safety hooks, or block git push/reset in Claude Code.

skills

mattpocock

latex-table

brycewang-stanford

LaTeX回归表格生成Skill。辅助生成符合AER/QJE等顶刊格式的三线表，包括标准误聚类标注、显著性星标、固定效应标注。触发词：LaTeX表格/回归表/三线表/table制作/latex table

humanize-chinese

brycewang-stanford

Detect and humanize AI-generated Chinese text. 20+ rule detection categories plus statistical features (sentence-length CV, short-sentence fraction, comma density, perplexity, GLTR, DivEye) plus scene-aware LR fusion (rule × 0.2 + LR × 0.8) trained on three scenes: general / academic / longform 长文本 (≥1500 字)。Unified CLI: ./humanize {detect,rewrite,academic,style,compare}. 8 style transforms (casual/zhihu/xiaohongshu/wechat/academic/literary/weibo/novel)。 Multi-paragraph rewriting (paragraph length CV、跨段 trigram 重复) plus best-of-N humanize (默认 N=10 取最低 LR)。165 replacement patterns + CiLin 同义词词林 38873 with collision blacklist。 Academic paper AIGC reduction for CNKI/VIP/Wanfang (知网/维普/万方 AIGC 检测降重)。 Pure Python, no dependencies, offline。v5.0.0 — HC3 fused 准确率 95%、学术 hero 100→35 (-65)、 工作汇报 96→13 (-83)、长篇博客 96→41 (-55)。 Use when user says: "去AI味", "降AIGC", "人性化文本", "humanize chinese", "AI检测", "AIGC降重", "去除AI痕迹", "文本改写", "论文降重", "知网检测", "维普检测", "AI写作检测", "让文字更自然", "detect AI text", "humanize text", "reduce AIGC score", "make text human-like", "去ai化", "改成人话", "去机器味", "降低AI率", "过AIGC检测", "长文本改写", "小说改写"

econ-reviewer

brycewang-stanford

经济学顶刊标准审稿Skill。按AER/QJE/Econometrica/JPE顶刊标准审查论文输出（图表+回归表），列出潜在致命缺陷。触发词：顶刊审稿/论文审查/econ reviewer/经济学期刊标准/PR

reflexion:memorize

NeoLabHQ

Curates insights from reflections and critiques into CLAUDE.md using Agentic Context Engineering

customaize-agent:thought-based-reasoning

NeoLabHQ

Use when tackling complex reasoning tasks requiring step-by-step logic, multi-step arithmetic, commonsense reasoning, symbolic manipulation, or problems where simple prompting fails - provides comprehensive guide to Chain-of-Thought and related prompting techniques (Zero-shot CoT, Self-Consistency, Tree of Thoughts, Least-to-Most, ReAct, PAL, Reflexion) with templates, decision matrices, and research-backed patterns

customaize-agent:prompt-engineering

NeoLabHQ

Use this skill when you writing commands, hooks, skills for Agent, or prompts for sub agents or any other LLM interaction, including optimizing prompts, improving LLM outputs, or designing production prompt templates.

customaize-agent:test-prompt

NeoLabHQ

Use when creating or editing any prompt (commands, hooks, skills, subagent instructions) to verify it produces desired behavior - applies RED-GREEN-REFACTOR cycle to prompt engineering using subagents for isolated testing

customaize-agent:create-hook

NeoLabHQ

Create and configure git hooks with intelligent project analysis, suggestions, and automated testing

mcp:setup-serena-mcp

NeoLabHQ

Guide for setup Serena MCP server for semantic code retrieval and editing capabilities